Sheng Yuong Wong

According to our database1, Sheng Yuong Wong authored at least 17 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2022
Computational intelligence for preventive maintenance of power transformers.
Appl. Soft Comput., 2022

2021
Advances of metaheuristic algorithms in training neural networks for industrial applications.
Soft Comput., 2021

Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System.
IEEE Access, 2021

2020
A High Throughput and Pipelined Implementation of the LUKS on FPGA.
J. Circuits Syst. Comput., 2020

An efficiency improvement of flexible flow shop scheduling in automotive part company.
Intell. Decis. Technol., 2020

A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network.
Frontiers Comput. Neurosci., 2020

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System.
IEEE Access, 2020

A New Probabilistic Output Constrained Optimization Extreme Learning Machine.
IEEE Access, 2020

2019
A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification.
Intell. Decis. Technol., 2019

Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification.
IEEE Access, 2019

Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network.
IEEE Access, 2019

2018
An ELM based multi-agent system and its applications to power generation.
Intell. Decis. Technol., 2018

2016
A Constrained Optimization based Extreme Learning Machine for noisy data regression.
Neurocomputing, 2016

2015
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification.
Neural Process. Lett., 2015

2014
Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013


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